A novel relevance feedback technique in image retrieval
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel region-based image retrieval method using relevance feedback
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning from Labeled and Unlabeled Data using Graph Mincuts
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Learning a Classification Model for Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Foreground object detection from videos containing complex background
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Semi-Supervised Learning on Riemannian Manifolds
Machine Learning
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Automatic Sign Detection and Recognition in Natural Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
ClickRemoval: interactive pinpoint image object removal
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 13th annual ACM international conference on Multimedia
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
SmartLabel: an object labeling tool using iterated harmonic energy minimization
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
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Labeling objects in images plays a crucial role in many visual learning and recognition applications that need training data, such as image retrieval, object detection and recognition. Manually creating object labels in images is time consuming and, thus, becomes impossible for labeling a large image dataset. In this paper, we present a family of semi-automatic methods based on a graph-based semi-supervised learning algorithm for labeling objects in images. We first present Smart-Label that proposes to label images with reduced human input by iteratively computing the harmonic solutions to minimize a quadratic energy function on the Gaussian fields. SmartLabel tackles the problem of lacking negative data in the learning by embedding relevance feedback after the first iteration, which also leads to one limitation of SmartLabel--needing additional human supervision. To overcome the limitation and enhance SmartLabel, we propose SmartLabel-2 that utilizes a novel scheme to sample negative examples automatically, replace regular patch partitioning in SmartLabel by quadtree partitioning and applies image over-segmentation (superpixels) to extract smooth object contours. Evaluation on six diverse object categories have indicated that SmartLabel-2 can achieve promising results with a small amount of labeled data (e.g., 1%-5% of image size) and obtain close-to-fine extraction of object contours on different kinds of objects.